This work presents a survey of the current state of the art of visualization techniques for
parallel coordinates. It covers geometric models for constructing parallel coordinates and …

In this paper, we present a systematization of techniques that use quality metrics to help in
the visual exploration of meaningful patterns in high-dimensional data. In a number of recent …

The visualization community has developed to date many intuitions and understandings of
how to judge the quality of views in visualizing data. The computation of a visualization's …

The parallel coordinates technique is widely used for the analysis of multivariate data.
During recent decades significant research efforts have been devoted to exploring the …

This paper describes the term Big Data in aspects of data representation and visualization.
There are some specific problems in Big Data visualization, so there are definitions for these …

Scatterplots and parallel coordinate plots (PCPs) that can both be used to assess correlation
visually. In this paper, we compare these two visualization methods in a controlled user …

Parallel Coordinates is an often used visualization method for multidimensional data sets. Its
main challenges for large data sets are visual clutter and over plotting which hamper the …

Parallel coordinate plots (PCPs) are a well‐known visualization technique for viewing
multivariate data. In the past, various visual modifications to PCPs have been proposed to …

We describe a technique for bundled curve representations in parallel-coordinates plots and
present a controlled user study evaluating their effectiveness. Replacing the traditional C^ 0 …

The ability to perceive patterns in parallel coordinates plots (PCPs) is heavily influenced by
the ordering of the dimensions. While the community has proposed over 30 automatic …